Case Study · Healthcare
Six years building a patient analytics platform used by hospitals and clinics in India
Our client's patient analytics platform keeps a Comprehensive Health Record for every patient, through treatment, outcomes and long-term maintenance, and gives doctors AI and ML tools to improve care. AMT has developed and maintained the product for six years. Many hospitals and clinics in India use it.
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At a glance
- Client
- Patient analytics platform company working closely with doctors
- Used by
- Many hospitals and clinics in India
- What AMT does
- Continuous product development and maintenance for six years
- Core idea
- Comprehensive Health Records (CHRs) covering each patient's full treatment journey
- Stack
- Next.js, Node.js, Python, PostgreSQL, MongoDB
The short version
Most health records stop at the visit. This platform follows the patient from treatment through outcomes to ongoing maintenance, in one Comprehensive Health Record. On top of that record it adds analytics and AI and ML tools that help doctors make faster, better-informed decisions. AMT has been the product's engineering partner for six years, developing new capability and keeping the platform running.
What the platform covers
Data collection and integration
- Aggregates data from electronic health records, medical devices, lab results and patient self-reports
- Standardises data into one format for analysis
- Collects data in real time for timely insight
Comprehensive Health Records
- A detailed, current record for each patient across the whole treatment journey
- Secure, scalable storage for large volumes of health data
- Audit trails for accountability in how data is used
Analytics and AI
- Predictive analytics for outcomes, complications and treatment efficacy
- Machine learning to find patterns and trends in patient data
- Personalised treatment recommendations
- Clinical decision support tools for doctors
- Automation of routine tasks
Doctors and patients
- A doctor-centric interface designed for speed and clarity
- A patient portal for records, treatment plans and other information
- Web and mobile access for providers and patients
Outcomes and reporting
- Monitoring of patient response to treatment
- Outcome analysis to refine treatment protocols
- Reporting tools to track progress and outcomes
- Feedback loops from providers and patients
Six years of product engineering
The platform keeps changing because medicine and the people using it keep changing. AMT's long-running role covers new features, technology upgrades, scaling for more data and users, and day-to-day maintenance. Many hospitals and clinics in India now use the product.
Technology stack
| Layer | Technology |
|---|---|
| Front end | Next.js |
| Back end | Node.js, Python |
| Databases | PostgreSQL, MongoDB |
Before you build something similar
- Which sources will you connect first? EHRs, devices, labs and self-reported data all arrive in different shapes. Standardisation is most of the work.
- What will doctors actually open? Design for the clinician's time. A tool they skip helps nobody.
- Which privacy rules apply where you operate? Health data rules differ by country. Build access control and audit trails in from the start.
- Who will run it in year six? Clinical products live a long time. Pick a partner you can keep.